
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "100"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 77 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 73 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	36.972193	10.763203	58.233249	72.152653	21.850114	27.861390	34.150580	32.066046	0.0476	0.0558	0.0064	1.336260	1.338946
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.050648	18.543288	67.813216	75.345104	30.126942	36.148800	20.592957	11.066914	0.0451	0.0509	0.0055	1.321207	1.306161
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	2.299859	1.423840	1.107979	1.757048	4.178948	1.186231	2.662208	0.586502	0.0935	0.0925	0.0132	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	27.810655	20.857027	84.197426	91.413343	26.803352	31.990034	11.364784	1.960202	0.0398	0.0457	0.0055	1.343346	1.331245
2459590	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	32.925406	23.292805	78.030085	85.149244	27.815347	33.534410	16.514894	4.508526	0.0479	0.0528	0.0051	1.389686	1.367724
2459589	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	30.398398	21.166697	72.671153	78.912551	16.735791	21.262257	21.951426	16.399650	0.0472	0.0517	0.0044	1.316886	1.322073
2459588	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.349540	16.925865	82.235805	92.352581	22.828022	24.713738	21.378614	13.512667	0.0467	0.0521	0.0047	1.305197	1.296824
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	28.629666	21.822793	112.461037	123.221397	-1.596167	7.751509	-4.675000	11.633981	nan	nan	nan	0.000000	0.000000
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.463154	19.468342	26.914838	28.795913	9.512502	10.894332	17.697736	5.561465	0.0469	0.0522	0.0057	1.332024	1.343434
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	27.577996	25.818692	5.754545	7.287630	9.325652	10.241183	6.206396	3.865807	0.0677	0.0615	0.0102	0.000000	0.000000
2459584	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.727314	26.719541	92.173765	99.219968	16.207119	18.237280	41.524487	39.397922	0.0427	0.0467	0.0037	0.000000	0.000000
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.771429	18.657178	28.679614	30.819280	19.207868	22.716739	0.235382	0.410866	0.0436	0.0489	0.0062	0.000000	0.000000
2459582	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.300831	15.872607	27.195973	29.412170	23.228996	27.702860	0.295559	0.383410	0.0410	0.0458	0.0058	1.265284	1.313616
2459581	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.288381	22.695853	29.925932	31.551952	17.944838	22.016468	0.566253	0.427207	0.0450	0.0503	0.0073	1.267132	1.299150
2459580	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.785405	16.992615	29.948964	32.302554	19.897750	22.930856	0.092958	0.216356	0.0473	0.0518	0.0066	0.000000	0.000000
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.251163	16.677379	35.841300	38.617375	22.705717	26.522920	1.601577	1.550030	0.0435	0.0479	0.0062	1.269089	1.353352
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	2.045521	1.691304	0.224991	0.134834	-0.363664	-0.637308	1.492738	1.736508	0.0938	0.0520	0.0121	nan	nan
2459577	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.962974	21.263213	29.291827	30.966443	20.216065	24.426425	0.413460	0.432220	0.0442	0.0467	0.0052	1.246835	1.244399
2459576	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.866738	16.865438	23.295814	24.901333	18.412307	21.231309	1.136118	1.181609	0.0432	0.0478	0.0064	1.287546	1.323928
2459575	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.368455	17.321486	21.897568	23.557784	15.448823	16.656548	7.229342	6.342900	0.0464	0.0514	0.0058	1.321065	1.356726
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.521255	15.751187	22.131294	23.662502	20.289987	23.897531	1.333873	0.767310	0.0425	0.0462	0.0058	1.272475	1.304550
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.905139	16.341190	36.115443	38.731825	23.734139	27.442312	1.139816	1.553681	0.0404	0.0451	0.0059	1.307574	1.405399
2459572	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.856019	16.363367	21.054720	22.626124	15.184009	17.196606	2.550022	2.654632	0.0454	0.0491	0.0064	1.284451	1.310776
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.539496	1.386301	0.089538	0.042245	0.764713	-0.845904	1.473326	1.674126	0.0946	0.0686	0.0137	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	28.164512	26.734012	23.181784	24.803864	1.262642	1.710208	5.540036	5.186952	0.0637	0.0708	0.0098	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.206606	18.889461	27.920937	29.511342	10.784723	10.993257	8.295883	9.086952	0.0484	0.0554	0.0080	1.287966	1.319561
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-0.894017	-0.894017	-0.869152	-0.869152	0.484019	0.484019	0.010794	0.010794	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.173863	15.124005	29.268093	31.296084	2.066028	2.062451	1.149537	0.884172	0.0448	0.0485	0.0051	1.276217	1.277935
2459563	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.223931	16.978852	55.974470	59.744645	18.815741	21.515873	2.476792	1.907280	0.0455	0.0492	0.0041	1.358611	1.413971
2459562	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.865732	10.351748	14.382626	15.395324	2.225497	2.510013	0.740933	0.744350	0.0435	0.0476	0.0062	1.253668	1.274220
2459561	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.051167	10.828965	14.440498	15.382857	2.647215	2.815311	1.203121	1.226277	0.0452	0.0505	0.0067	1.254813	1.277573
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.375782	9.793551	14.067283	14.829494	2.107917	2.600682	0.752910	0.634513	0.0423	0.0463	0.0058	1.257484	1.283883
2459559	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	12.662564	12.610946	16.196061	17.109191	2.417446	3.029795	0.983356	1.044278	0.0457	0.0509	0.0062	1.249533	1.260469
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.096365	16.463161	30.316936	32.716008	20.965991	22.555840	1.294904	1.514403	0.0437	0.0478	0.0054	1.272297	1.290503
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0725	0.0367	0.0028	nan	nan
2459556	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.077712	16.779501	32.738713	35.383243	18.754828	20.447957	2.879175	3.324831	0.0467	0.0502	0.0055	1.301961	1.332951
2459554	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0429	0.0482	0.0069	nan	nan
2459553	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0475	0.0528	0.0066	nan	nan
2459552	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.370798	21.042394	41.892900	44.407496	28.800987	31.652148	3.310951	3.027857	0.0406	0.0452	0.0058	1.273874	1.274817
2459551	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.388864	9.891400	17.904177	18.935530	2.931634	3.794611	1.140947	1.094967	0.0442	0.0487	0.0064	1.255417	1.276509
2459550	RF_maintenance	-	97.53%	97.53%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.1033	0.0842	0.0061	nan	nan
2459549	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.765220	15.023150	31.454512	33.482132	20.093914	22.072409	1.272519	1.141552	0.0435	0.0470	0.0052	1.307276	1.331128
2459542	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.839601	22.712559	67.746077	71.602854	1.121676	1.959788	1.705781	1.382626	0.0441	0.0465	0.0036	1.259434	1.258848
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	12.095075	11.160471	32.202488	34.188756	169.503984	184.449235	15.934607	12.945848	0.0461	0.0499	0.0060	1.325163	1.314371
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.320042	14.997312	14.281687	15.534680	4.380159	5.413425	0.712811	0.870692	0.0437	0.0480	0.0064	1.262657	1.279749
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.496216	24.502495	54.336683	57.631535	29.045405	31.288470	2.642344	2.134212	0.0383	0.0426	0.0054	1.266592	1.351941
2459535	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.583727	12.138146	13.318221	14.264887	2.835924	6.019330	0.187461	0.426283	0.0478	0.0518	0.0053	1.248936	1.273950
2459534	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.265780	12.042600	12.354185	13.170002	2.689822	4.421203	0.138640	0.054949	0.0391	0.0444	0.0057	1.232557	1.264368
2459533	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.681508	17.984814	30.930765	33.076977	17.793930	20.454295	1.301430	1.604548	0.0406	0.0439	0.0046	1.265389	1.283019
2459532	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.124285	21.079523	41.708669	44.883188	22.184850	25.533944	0.791984	0.914630	0.0406	0.0442	0.0049	1.272160	1.307242
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.114700	10.520969	12.512031	13.329146	3.323488	4.206876	0.593075	0.456159	0.0492	0.0500	0.0042	1.303885	1.324481
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.982153	25.515130	47.613714	50.572595	41.310864	35.826200	0.178028	0.547018	0.0443	0.0605	0.0154	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	25.245860	21.189522	42.796413	44.911218	19.012874	30.898615	1.646074	1.405771	nan	nan	nan	1.660424	1.698517
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.982070	21.915750	44.823393	48.435061	11.092454	23.780871	1.421919	1.736275	0.0460	0.0476	0.0034	1.338915	1.349269
2459513	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.585224	1.962136	1.310837	0.039793	13.383988	1.457384	58.382297	1.648913	0.0989	0.0736	0.0211	nan	nan
2459508	RF_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	0.183330	28.410953	-0.383860	47.848485	0.203428	15.963120	0.746051	14.749084	0.9197	0.0781	0.5934	0.000000	0.000000
2459505	RF_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	1.187661	29.185542	4.228809	45.624299	2.842736	9.091970	54.144218	2.014300	0.8753	0.0565	0.6210	11.519600	1.215235
2459503	RF_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	0.452968	27.983701	0.010886	75.103743	-0.449160	33.552411	13.664515	3.131368	0.8762	0.1056	0.6969	0.000000	0.000000
2459501	RF_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	0.401735	20.121633	-0.785748	51.649629	-0.268521	22.715735	4.552714	0.919976	0.8589	0.1118	0.2534	0.000000	0.000000
2459500	RF_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	0.069714	22.762046	-1.184862	62.675295	-0.172207	22.533505	4.495117	1.065300	0.8642	0.1295	0.2249	0.000000	0.000000
2459499	RF_maintenance	100.00%	0.00%	19.35%	0.00%	100.00%	0.00%	0.633456	24.943103	0.050433	77.356547	-0.301172	22.210942	1.723876	11.269249	0.8888	0.4222	0.2867	0.000000	0.000000
2459498	RF_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	0.314356	20.518405	-0.804840	71.574299	-0.236786	18.833472	1.931696	4.140345	0.8740	0.1327	0.2232	0.000000	0.000000
2459497	RF_maintenance	100.00%	0.00%	100.00%	0.00%	100.00%	0.00%	1.899662	24.099177	0.632578	77.289338	0.594706	23.323187	7.687460	3.928395	0.9057	0.1544	0.1530	0.000000	0.000000
2459496	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.938508	24.942616	0.059009	70.333426	-0.326920	21.476097	7.499179	2.495721	0.0726	0.0760	0.0150	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.573257	19.759440	-0.155300	65.498551	-0.341161	18.818123	2.932440	2.615190	0.0665	0.0760	0.0146	0.000000	0.000000
2459494	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.130928	21.421766	0.222373	69.966012	-0.607074	21.692534	-0.147762	5.409455	0.0653	0.0717	0.0155	0.000000	0.000000
2459492	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.489191	24.360575	-1.180975	51.426310	-0.376330	27.973405	2.747997	6.454166	0.0719	0.0610	0.0322	0.000000	0.000000
2459491	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.765593	23.738205	-0.532435	56.451378	-0.023797	41.915503	2.592329	12.488133	0.0648	0.0690	0.0294	0.000000	0.000000
2459490	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.635316	28.028617	-0.490763	58.428702	-0.307963	25.634363	1.326075	6.834156	0.0669	0.0603	0.0331	0.000000	0.000000
2459489	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.289961	23.764444	-0.772042	53.224738	2.125845	27.303466	7.600128	8.425685	0.0727	0.0637	0.0339	0.000000	0.000000
2459488	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.473684	22.838111	-0.478170	44.319658	-0.103895	29.884558	1.972412	10.709354	0.0685	0.0596	0.0350	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 100 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 100, Node 7:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 100: 2459597

Antenna 100: 2459596

Antenna 100: 2459595

Antenna 100: 2459594

Antenna 100: 2459593

Antenna 100: 2459592

Antenna 100: 2459591

Antenna 100: 2459590

Antenna 100: 2459589

Antenna 100: 2459588

Antenna 100: 2459587

Antenna 100: 2459586

Antenna 100: 2459585

Antenna 100: 2459584

Antenna 100: 2459583

Antenna 100: 2459582

Antenna 100: 2459581

Antenna 100: 2459580

Antenna 100: 2459579

Antenna 100: 2459578

Antenna 100: 2459577

Antenna 100: 2459576

Antenna 100: 2459575

Antenna 100: 2459574

Antenna 100: 2459573

Antenna 100: 2459572

Antenna 100: 2459571

Antenna 100: 2459570

Antenna 100: 2459569

Antenna 100: 2459566

Antenna 100: 2459565

Antenna 100: 2459564

Antenna 100: 2459563

Antenna 100: 2459562

Antenna 100: 2459561

Antenna 100: 2459560

Antenna 100: 2459559

Antenna 100: 2459558

Antenna 100: 2459556

Antenna 100: 2459552

Antenna 100: 2459551

Antenna 100: 2459549

Antenna 100: 2459542

Antenna 100: 2459541

Antenna 100: 2459540

Antenna 100: 2459536

Antenna 100: 2459535

Antenna 100: 2459534

Antenna 100: 2459533

Antenna 100: 2459532

Antenna 100: 2459530

Antenna 100: 2459527

Antenna 100: 2459524

Antenna 100: 2459523

Antenna 100: 2459522

Antenna 100: 2459513

Antenna 100: 2459508

Antenna 100: 2459506

Antenna 100: 2459505

Antenna 100: 2459503

Antenna 100: 2459501

Antenna 100: 2459500

Antenna 100: 2459499

Antenna 100: 2459498

Antenna 100: 2459497

Antenna 100: 2459496

Antenna 100: 2459495

Antenna 100: 2459494

Antenna 100: 2459492

Antenna 100: 2459491

Antenna 100: 2459490

Antenna 100: 2459489

Antenna 100: 2459488

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶